Data Analytics & Insights Specialist

J.D. Irving, Limited; Dieppe; On-site; CAD 55,000 - 75,000; Full time

Benefits offered by this job

Professional growth

Career development

Data-driven decisions

Job summary

Universal Truck and Trailer is Atlantic Canada’s largest heavy‑duty truck and trailer dealership, seeking a Data Analyst to transform data into actionable insights. You’ll work with leaders across the organization on analytics, predictive modeling, and data visualization to support business decisions.

Responsibilities include leading analytics projects, building dashboards, and translating complex data into practical recommendations while partnering with operations and business leaders to drive

Qualifications

• Bachelor’s degree in a related field.
• 2–5 years of data analytics experience.
• Experience with SQL and relational databases.
• Proficiency with data visualization tools such as Power BI/Tableau/Alteryx/SPSS.
• Strong analytical and communication skills.
• Experience translating analyses for non-technical audiences.

Responsibilities

• Lead end-to-end analytics projects from data extraction to visualization.
• Develop descriptive, predictive, and prescriptive analytics.
• Partner with leaders to identify opportunities and insights.
• Integrate data from multiple sources ensuring data quality.
• Build dashboards and reports for leadership monitoring.
• Identify trends and communicate findings clearly to stakeholders.
• Translate analyses into practical recommendations.
• Support continuous improvement through data-driven insights.

Skills

SQL

Analytical thinking

Communication

Problem solving

Predictive modeling

Education

Bachelor’s degree in Computer Science, Data Analytics, Engineering, Mathematics, Statistics, Business, or related field

Tools

Power BI

Tableau

Alteryx

SPSS

Excel

Job description

Universal Truck and Trailer is Atlantic Canada’s largest heavy‑duty truck and trailer dealership, seeking a Data Analyst to transform data into actionable insights. You’ll work with leaders across the organization on analytics, predictive modeling, and data visualization to support business decisions.

Responsibilities include leading analytics projects, building dashboards, and translating complex data into practical recommendations while partnering with operations and business leaders to drive